Center for Vision Research
Seminar Series 2009-2010
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CVR News
New vision researchers joining the Brown faculty in
2009-2010:
Matt Harrison is a new faculty member in the Applied
Math Department. His research looks at statistical
methods in Neuroscience, pattern theory, information
theory and perceptual organization.
James Hays has joined the Computer Science
department as Assistant Professor. His research looks
at Computer graphics and computer vision, including
image completion, texture analysis and synthesis,
animation, place recognition, and object recognition.
Thomas Serre is a new Assistant Professor in the
CLiPS (Cognitive, Linguistic & Psychological
Sciences). His research looks at computational
models of biological and machine vision.
Erik Sudderth has joined the Computer Science
department as an Assistant Professor. His research
looks at statistical machine learning and computer
vision.
Michael J. Tarr, who has served as Co-Director of the
Center for Vision Research for the past two years, has
left Brown to become Co-Director of the Center for the
Neural Basis of Cognition at Carnegie Mellon
University. Thanks to Mike for his many contributions
to vision research at Brown and best wishes for his
new position at CMU.
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CVR Faculty News
David M. Berson
The American Association for the Advancement of
Science (AAAS) has elected five Brown University
professors — David M. Berson, Mark D. Bertness,
John P. Donoghue, Susan A. Gerbi, and Jimmy Xu —
as fellows for their significant contributions to the life
and physical sciences.
Carlos Aizenman
Assistant Professor of Neuroscience, received an NSF
Career Award for his project entitled "Cellular
determinants of visual system function and
development". (March 2008)
Michael J. Black
Brown computer scientists Michael Black and
Alexandru Balan have developed a computer
program that can "guess" the shape of a person's
body under their clothing. Their method uses a
statistical model of human body shapes learned from
a large number of three dimensional body scans and
then combines this with measurements made from
images or video. The key idea that, as a person
moves, their clothes become tighter or looser in
different places. By combining information from many
body poses the program is able to develop an
accurate guess about the underlying shape. The
result has the effect of "X-ray vision" while not violating
people's privacy with invasive sensing technology.
The technology could be useful in in fashion, film,
forensics, sports medicine, and video gaming.
(October 2008)
Odest Chadwicke (Chad) Jenkins
Assistant Professor of Computer Science, received a
Presidential Early Career Award for Scientists and
Engineers (PECASE) for outstanding contributions to
his field. Chad received his award during a White
House ceremony (November 2007).
Sept 17
Co-sponsor, Dept of Neuroscience
Oct 1
Co-sponsor, Dept of Neuroscience
Oct 27
Nov 6
Co-sponsor, Div. of Applied Math
2010
Feb 9
Feb 12
Co-sponsor, Div. of Applied Math
March 9
March 11
Co-sponsor, Dept of Neuroscience
April 5
April 7
April 22